Machine Learning Course With Python
Ggulawo amaanyi ga machine learning ne Machine Learning Course yaffe eno nga tukozesa Python, etegeke eri bannamateeka abagala okwongera ku bumanyirivu bwabwe. Yingira mu ngeri z’okulonda model ne implementation, okumanya ebikondo by’emiti gy’amateeka, random forests, ne linear regression. Funa obukugu mu kutendeka model, evaluation, ne optimization nga tukozesa scikit-learn, ate era nga otegeera error metrics enkulu nga MAE ne RMSE. Noonyereza ku data exploration, okuyonja, ne feature engineering, okukakasa models ez’amaanyi era ez’omutindo ogwa waggulu. Wegatte kati okutumbula omulimu gwo n’okuyiga okugasa era okwa maanyi.
flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Ggulawo amaanyi ga machine learning ne Machine Learning Course yaffe eno nga tukozesa Python, etegeke eri bannamateeka abagala okwongera ku bumanyirivu bwabwe. Yingira mu ngeri z’okulonda model ne implementation, okumanya ebikondo by’emiti gy’amateeka, random forests, ne linear regression. Funa obukugu mu kutendeka model, evaluation, ne optimization nga tukozesa scikit-learn, ate era nga otegeera error metrics enkulu nga MAE ne RMSE. Noonyereza ku data exploration, okuyonja, ne feature engineering, okukakasa models ez’amaanyi era ez’omutindo ogwa waggulu. Wegatte kati okutumbula omulimu gwo n’okuyiga okugasa era okwa maanyi.
Elevify advantages
Develop skills
- Okumanya Ebikondo by’Emti gy’Amateeka: Implement era otumbule emiti gy’amateeka ku models eziragula.
- Obukugu mu Linear Regression: Zimba era olongoose models za linear regression nga tukozesa Python.
- Obukugu mu Kuyonja Data: Yonja era oteeketeeke datasets nga tukozesa Pandas okusobola okwekenneenya.
- Hyperparameter Tuning: Longoose model performance n’engeri ez’omulembe ez’okutunga.
- Okuloopa mu Ngeri Ennungi: Wandiika era olopoote data science processes mu bwesimbu.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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